Class SmartChineseAnalyzer
SmartChineseAnalyzer is an analyzer for Chinese or mixed Chinese-English text. The analyzer uses probabilistic knowledge to find the optimal word segmentation for Simplified Chinese text. The text is first broken into sentences, then each sentence is segmented into words.
Segmentation is based upon the Hidden Markov Model. A large training corpus was used to calculate Chinese word frequency probability.
This analyzer requires a dictionary to provide statistical data. SmartChineseAnalyzer has an included dictionary out-of-box.
The included dictionary data is from ICTCLAS1.0. Thanks to ICTCLAS for their hard work, and for contributing the data under the Apache 2 License!
@lucene.experimentalInherited Members
Assembly: Lucene.Net.Analysis.SmartCn.dll
Syntax
public sealed class SmartChineseAnalyzer : Analyzer, IDisposableConstructors
| Name | Description |
|---|---|
| SmartChineseAnalyzer(LuceneVersion) | Create a new SmartChineseAnalyzer, using the default stopword list. |
| SmartChineseAnalyzer(LuceneVersion, CharArraySet) | Create a new SmartChineseAnalyzer, using the provided CharArraySet of stopwords. Note: the set should include punctuation, unless you want to index punctuation! |
| SmartChineseAnalyzer(LuceneVersion, Boolean) | Create a new SmartChineseAnalyzer, optionally using the default stopword list. The included default stopword list is simply a list of punctuation. If you do not use this list, punctuation will not be removed from the text! |
Methods
| Name | Description |
|---|---|
| CreateComponents(String, TextReader) | |
| GetDefaultStopSet() | Returns an unmodifiable instance of the default stop-words set. |
